Keerthiram Murugesan
Artificial Intelligence · 2016
A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Molecular Biology — 17 citations into it; #14,043 of 17,773 by trust here, #17,670 by citations
- Representation & Self-Supervised Learning — 12 citations into it
- Computational Mechanics — 11 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Information Systems — 7 citations into it
- Statistical Learning Theory — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Keerthiram Murugesan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Koby Crammer
- Aurelie C. Lozano
- Yu Zhang
- Avishek Saha
- Andreas Argyriou
- Marius Kloft
- Yi Zhang
- Nello Cristianini
- Ofer Dekel
- Vikas Sindhwani
Who trusts Keerthiram Murugesan overall
- Peng Yang
- Yujing Chen
- Yu Zhang
- Peilin Zhao
- Yue Ning
- Steven C. H. Hoi
- Qiang Yang
- Sebastian Caldas
- Xin Gao
- Huzefa Rangwala
Papers from Keerthiram Murugesan's perspective
Ordered by how strongly the researchers Keerthiram Murugesan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
Their papers
- Multitask Matrix Completion for Learning Protein Interactions Across Diseases (2016) — 13 citations
- Adaptive Smoothed Online Multi-Task Learning (2016) — 39 citations
- Multi-Task Multiple Kernel Relationship Learning (2016) — 15 citations